SAS® Visual Text Analytics in SAS® Viya®
SVTA : SVTA51
SAS Visual Text Analytics enables you to uncover insights hidden within unstructured data using the combined power of natural language processing, machine learning, and linguistic rules. This course explores the five components of Visual Text Analytics: parsing, concept derivation, topic derivation, text categorization, and sentiment analysis. Documents are parsed and analyzed to reveal dominant themes in the document collection. Sophisticated linguistic queries are constructed to satisfy specific information needs. An integrated solution is developed using information extracted from subject matter expert rules, combined with machine learning results for model and rule-based topics and categories. The course includes hands-on use of SAS Viya in a distributed computing environment.
Learn How To
- Use the point-and-click interface of Model Studio and SAS Visual Text Analytics.
- Explore collections of text documents to discover key topics.
- Interpret term maps.
- Identify key textual topics automatically in your large document collections.
- Create robust models for categorizing the content according to your organization's specific needs.
- Create, modify, and enable (or disable) custom concepts and test linguistic rule definitions with validation checks within the same interactive GUI.
- Extract individual instances of concepts from within documents.
- Create custom Boolean rules to categorize documents with respect to a categorical target variable.
- Modify automatically generated Boolean category rules.
- Extract a document-level sentiment score.
- Create modeling-ready data for use by SAS Visual Data Mining and Machine Learning.
- Import and convert document files for consumption by SAS Visual Text Analytics.
Who Should Attend
Text analysts, business and marketing analysts, web analysts, BI professionals, customer intelligence professionals, social media analysts, and document librarians
Prerequisites
Neither SAS programming experience nor statistical knowledge is required, although some understanding of the fundamentals of data analysis is helpful. We recommend the course Statistics You Need to Know for Machine Learning. You should be comfortable using a computer, have experience using browser-based software solutions, and have a basic understanding of the differences between structured (numeric) and unstructured (text) data fields.
SAS Products Covered
SAS Visual Text Analytics
Course Outline
Introduction to SAS Visual Text Analytics
- Introduction.
- Language challenges (self-study).
- Importing document collections.
- Creating a project with no predefined concepts.
- A project with custom concepts.
- Introduction.
- Projects.
- Concepts and terms.
- Machine-generated topics.
- Categories.
- Document scoring.
- SAS Visual Text Analytics rules.
- SAS Visual Text Analytics concept rules.
- SAS Visual Text Analytics demo category rules.
- Introduction.
- Scoring concepts.
- Scoring topics.
- Scoring categories.
- Introduction to the case studies.
- Information and document retrieval.
- Automatic categorization of ASRS incident reports.
- Retrieving mortgage complaints from the CFPB customer complaints data (self-study).
Live Class Schedule
Duration: 14 hours
Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
Live Class Schedule
SOLD SEPARATELY
Private Training
Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
Mentoring Services
Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.
This course helps prepare you to earn the following SAS Credentials:
SAS Certification Manager
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